{"title":"基于信噪比估计的数字调频水声语音通信系统","authors":"Xiaoquan Ke, Fei Yuan, Chun-xian Gao, En Cheng","doi":"10.1145/3291940.3291974","DOIUrl":null,"url":null,"abstract":"Considering the poor performance of the traditional underwater acoustic voice-communication system that adopts single-sideband (SSB) modulation, we proposed an underwater acoustic voice-communication system adopting frequency modulation (FM). The proposed system achieves digital FM modulation and digital FM demodulation through software radio, which will improve the communication performance meanwhile maintaining a low complexity of the system. To accurately estimate the state of underwater acoustic channels, we improved an estimation algorithm to estimate signal-to-noise ratio (SNR) of the received signal. We also proposed a new FM demodulation algorithm to increase the demodulation efficiency.","PeriodicalId":429405,"journal":{"name":"Proceedings of the 13th International Conference on Underwater Networks & Systems","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A robust and efficient digital FM underwater acoustic voice communication system based on SNR estimation\",\"authors\":\"Xiaoquan Ke, Fei Yuan, Chun-xian Gao, En Cheng\",\"doi\":\"10.1145/3291940.3291974\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Considering the poor performance of the traditional underwater acoustic voice-communication system that adopts single-sideband (SSB) modulation, we proposed an underwater acoustic voice-communication system adopting frequency modulation (FM). The proposed system achieves digital FM modulation and digital FM demodulation through software radio, which will improve the communication performance meanwhile maintaining a low complexity of the system. To accurately estimate the state of underwater acoustic channels, we improved an estimation algorithm to estimate signal-to-noise ratio (SNR) of the received signal. We also proposed a new FM demodulation algorithm to increase the demodulation efficiency.\",\"PeriodicalId\":429405,\"journal\":{\"name\":\"Proceedings of the 13th International Conference on Underwater Networks & Systems\",\"volume\":\"41 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-12-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 13th International Conference on Underwater Networks & Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3291940.3291974\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 13th International Conference on Underwater Networks & Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3291940.3291974","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A robust and efficient digital FM underwater acoustic voice communication system based on SNR estimation
Considering the poor performance of the traditional underwater acoustic voice-communication system that adopts single-sideband (SSB) modulation, we proposed an underwater acoustic voice-communication system adopting frequency modulation (FM). The proposed system achieves digital FM modulation and digital FM demodulation through software radio, which will improve the communication performance meanwhile maintaining a low complexity of the system. To accurately estimate the state of underwater acoustic channels, we improved an estimation algorithm to estimate signal-to-noise ratio (SNR) of the received signal. We also proposed a new FM demodulation algorithm to increase the demodulation efficiency.